Abstract
The aim of this work is to assess what is the role of color features in Computer-Aided Diagnosis (CAD) systems for melanoma classification. This assessment was performed by developing two CAD systems, each based on a different feature extraction method, whose classification is solely based on color features. The best performance (SE = 100% and SP = 93%) was achieved by both systems by using the unidimensional color histogram as the image descriptor and images represented in the opponent color space. These results show that color features play a major role in dermoscopy analysis.
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Ruela, M., Barata, C., Mendonça, T., Marques, J.S. (2013). What Is the Role of Color in Dermoscopy Analysis?. In: Sanches, J.M., Micó, L., Cardoso, J.S. (eds) Pattern Recognition and Image Analysis. IbPRIA 2013. Lecture Notes in Computer Science, vol 7887. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38628-2_97
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DOI: https://doi.org/10.1007/978-3-642-38628-2_97
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